Dashboards
Custom visualizations, drill-downs, and filters.
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The
Environment
Analysts Needed
Query, model, report, automate — in the tools you already know.
Works with the stack you already run
- MySQL
- PostgreSQL
- SQL Server
- Amazon Redshift
- BigQuery
- Snowflake
- Salesforce
- ClickHouse
- Databricks
- HubSpot
- MongoDB
- Oracle
- Google Sheets
- Spark SQL
- SQLite
- Airtable
- Slack
Analysts switch apps
1,200 times a day.
That's up to 40% of the day lost to switching. They bounce between 8 disconnected tools just to go from raw data to a deliverable — and burn 65% of their time moving data, context, and formatting between them. Veritly closes that gap in five moves.
Toggle count and switching cost: Harvard Business Review, 2022.
- 1Connect
Point Veritly at the databases, spreadsheets, CRM, and comms tools you already use.
- 2Ask
Ask in the words you'd use with a colleague. Veritly writes the query and shows you exactly what it ran.
- 3Build
Turn the answer into a chart, report, or dashboard without leaving the conversation to open another tool.
- 4Reuse
Every query, chart, and model works everywhere else in the platform.
- 5Automate
Turn any workflow into a scheduled job that runs on its own.
So we put it all in one workspace.
Docs, dashboards, an AI that writes the query, and the automations that rerun it, all reading from one governed model.
Office
Docs, sheets, slides, and PDFs on live, governed data.
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AI
Ask in plain English, get the query and the answer.
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Automations
Connect steps into a pipeline. No code to maintain.
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See it in motion.
That's the claim. Here's a real question going from plain English to a client-ready chart, start to finish.
Connect your whole stack.
It only counts if it works with what you already run. Pull revenue from Salesforce and spend from Google Ads, in the same query.
Get early accessSlack
Google Ads
Google Cloud
Microsoft Teams
Power BI
Salesforce
SQL Server
BigQuery
dbt
AWS
Xero
Shopify
Zoho
Brevo
SurveyMonkey
500+ connectors
Slack
Google Ads
Google Cloud
Microsoft Teams
Power BI
Salesforce
SQL Server
BigQuery
dbt
AWS
Xero
Shopify
Zoho
Brevo
SurveyMonkey
500+ connectors
Built for the people who actually get asked.
Whether you own the definitions, need the number, or hand it to a client, it's the same workspace.
Define the metrics once. You own the definitions, and the people asking answer their own questions against them.
Finance
What counts as revenue?
Marketing
Is this net or gross?
Sales
Why doesn't this match finance?
net_revenue
gross_bookings - refunds - discounts
Defined once. Owner: Data team.
Get an answer straight from the chat, with enough behind it that you don't have to take it on faith.
Why did signups dip last week?
Paid social. Sign-ups from paid fell 31% week on week while organic held flat.
The query behind it
SELECT channel, COUNT(*) AS signups
FROM signups
WHERE week IN ('this', 'last')
GROUP BY channel, weekTemplate the analysis, point it at a new dataset, and hand over a live dashboard instead of another static deck.
Here's what stops landing on your desk.
The month-end rebuild, the mid-meeting question, the client who wants their own view. Each one now handles itself.
Month-end runs before you open your laptop.
The refresh, the variance check and the write-up all run on the schedule you set. You arrive to what moved, not a queue of jobs to babysit.
Someone asks mid-meeting.
Ask in plain English, get the number with the query beside it.
A client wants their own view.
Share a live view instead of a deck. They only see rows you cleared them for.
The number gets challenged.
Every figure keeps the query that produced it, one click away.
Spend and revenue in the same question.
Salesforce and Google Ads resolve through one model, so the comparison doesn't need a spreadsheet in the middle.
Self-service that a data lead can sign off on.
The four questions a security review asks first, answered before anyone has to ask.
Read the security model- Does our data leave the warehouse?
- No.
- Veritly reads from the warehouse you already run, so your data stays exactly where your security review already put it.
- Can a viewer see rows they weren't cleared for?
- No.
- Row and column access is applied at the query, before results are returned, so a shared dashboard can't leak what the viewer was never allowed to see.
- Can we change a metric without breaking reports?
- Yes.
- Tune the definition on a branch, check what it does to downstream reports, and merge only when it's right.
- Can we prove what ran, and on which data?
- Yes.
- Each scheduled job records what ran, against which data, and what changed. That's the audit trail a client review needs.
Eight tools, or one environment.
Every tool in a normal analytics stack works. The cost isn't any one of them — it's the seams between them, and the fact that the same metric has to be re-explained to each one. That's the 65% of the day that disappears.
Compared on
The usual stack
Eight tools, seven seams
Veritly
One environment
Metric definitions
Where the number is actually decided
The usual stack
Redefined per tool
The BI tool, the warehouse, and three spreadsheets each hold their own version.
Veritly
Defined once, read everywhere
One semantic model. Every dashboard, document, and job resolves through it.
Changing a definition
What happens when the business moves
The usual stack
Chase every copy
Hunt down each place it was reimplemented and hope you found them all.
Veritly
Change it once
Everything built on the metric updates with it, and you can preview what moves first.
Getting an answer
The path from question to number
The usual stack
File a ticket and wait
Join the analyst's queue, then receive an export you can't interrogate.
Veritly
Ask in plain English
The answer arrives with the query that produced it, so you can check the work.
Handing it to a client
Getting it in front of someone else
The usual stack
Export, reformat, repeat
Paste into a deck, and do the whole thing again next quarter.
Veritly
A live, permissioned view
They filter and drill it themselves, seeing only the rows you cleared them for.
Proving the number
When someone challenges the figure
The usual stack
Reconstruct it by hand
Trace the spreadsheet back through the export back through the query, from memory.
Veritly
Lineage attached to every run
The query behind a figure is one click away, on the dashboard and in the archive.
What you're running
The stack itself
The usual stack
Eight tools with seams
Each one works. The cost is the gaps between them, and the context lost crossing each.
Veritly
One environment
Query, model, document, publish, and schedule without leaving the platform.
One environment. One definition of the number.
Comparing against a specific tool? Read the head-to-heads
Resources and News
The latest from Veritly
Frequently asked questions.
What is the Integrated Analysis Environment?
A single workspace for querying, modelling, reporting, and automating analytics — all reading from the same governed connection to your warehouse, so a number defined once is the same number everywhere it appears.
Do I need to migrate my data to use it?
No. Veritly connects to the warehouse you already run and builds a governed semantic model on top of it — your data stays where it is. Permissions are enforced at query time, inside the security perimeter you've already approved.
Is it available now?
Veritly is in private beta. Join the waitlist and we'll bring you in as capacity opens up — early access includes a setup session with the team that built it.
Who is Veritly built for?
Analysts, data teams, and consultancies who are tired of rebuilding the same report across a spreadsheet, a dashboard, and a slide deck every time the underlying data changes.
How is access controlled?
Row and column permissions are enforced before results are returned, so a shared view can't expose data the viewer was never cleared for — the same rules apply everywhere in the workspace.